This article provides an overview of new features in the Fortanix Confidential AI 3.16 release.
- This release adds support for "Bring Your Own Model". Users can now upload their own trained models (in ONNX or PMML format) and use them for inference. For more details refer to the following articles:
- This release adds support for XGBoost algorithm that supports tabular datatypes and can be used to build a trained model on the datasets in Confidential AI. For more details refer to the following articles:
- This release also adds support for ResNet50 algorithm that supports image datatype for object recognition in Confidential AI. For more details refer to the article Confidential AI Models.
Fortanix has a fair usage policy in this Early Customer Access Program. Hence, Fortanix has limited the resources one can create per account. Therefore, it is expected to observe a resource creation failure message once you have reached the max limit.
To report an issue/bug, visit https://support.fortanix.com/hc/en-us/requests/new.